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Patricia Strachan
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2020 – today
- 2024
- [c1]Brenna Li, Amy Wang, Patricia Strachan, Julie Anne Séguin, Sami Lachgar, Karyn C. Schroeder, Mathias S. Fleck, Renee Wong, Alan Karthikesalingam, Vivek Natarajan, Yossi Matias, Gregory S. Corrado, Dale R. Webster, Yun Liu, Naama Hammel, Rory Sayres, Christopher Semturs, Mike Schaekermann:
Conversational AI in health: Design considerations from a Wizard-of-Oz dermatology case study with users, clinicians and a medical LLM. CHI Extended Abstracts 2024: 88:1-88:10 - [i4]Jan Freyberg, Abhijit Guha Roy, Terry Spitz, Beverly Freeman, Mike Schaekermann, Patricia Strachan, Eva Schnider, Renee Wong, Dale R. Webster, Alan Karthikesalingam, Yun Liu, Krishnamurthy Dvijotham, Umesh Telang:
MINT: A wrapper to make multi-modal and multi-image AI models interactive. CoRR abs/2401.12032 (2024) - 2023
- [j1]David Stutz, Abhijit Guha Roy, Tatiana Matejovicova, Patricia Strachan, Ali Taylan Cemgil, Arnaud Doucet:
Conformal prediction under ambiguous ground truth. Trans. Mach. Learn. Res. 2023 (2023) - [i3]David Stutz, Ali Taylan Cemgil, Abhijit Guha Roy, Tatiana Matejovicova, Melih Barsbey, Patricia Strachan, Mike Schaekermann, Jan Freyberg, Rajeev V. Rikhye, Beverly Freeman, Javier Perez Matos, Umesh Telang, Dale R. Webster, Yuan Liu, Gregory S. Corrado, Yossi Matias, Pushmeet Kohli, Yun Liu, Arnaud Doucet, Alan Karthikesalingam:
Evaluating AI systems under uncertain ground truth: a case study in dermatology. CoRR abs/2307.02191 (2023) - [i2]David Stutz, Abhijit Guha Roy, Tatiana Matejovicova, Patricia Strachan, Ali Taylan Cemgil, Arnaud Doucet:
Conformal prediction under ambiguous ground truth. CoRR abs/2307.09302 (2023) - [i1]Shawn Xu, Lin Yang, Christopher Kelly, Marcin Sieniek, Timo Kohlberger, Martin Ma, Wei-Hung Weng, Attila Kiraly, Sahar Kazemzadeh, Zakkai Melamed, Jungyeon Park, Patricia Strachan, Yun Liu, Chuck Lau, Preeti Singh, Christina Chen, Mozziyar Etemadi, Sreenivasa Raju Kalidindi, Yossi Matias, Katherine Chou, Gregory S. Corrado, Shravya Shetty, Daniel Tse, Shruthi Prabhakara, Daniel Golden, Rory Pilgrim, Krish Eswaran, Andrew Sellergren:
ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders. CoRR abs/2308.01317 (2023)
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last updated on 2024-08-02 19:13 CEST by the dblp team
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